torch 0.0.3 to 0.17.0

CRAN

From

Record of 0.0.3 Record of 0.17.0 Both records side by side

Daily mean of CRAN downloads while each release was the newest, as blocks, and week by week as a line, one scale up to 2K. Choose a release to compare from or to it.

0.0.3 and 0.17.0
between them
other releases
daily mean, week by week
after this copy’s series ends on 26 Oct 2026

05001K1.5K2K

Releases: 30over 2,031 days
Advisories, method: None knownfor any of them
Exports changed: 18 timesin 29 steps
Dependencies changed: 8 timesin 29 steps
Licence: Samethroughout
Maintainer: Changedat 0.17.0

Step by step

Release	Days newest	Daily mean	Exports	Dependencies	Lines	Other changes
0.17.0 against 0.16.3 11 Apr 2026Exports +6 −0. Dependencies the same. Maintainer now Tomasz Kalinowski	201	1,037	+6 −0	No change	+217,179 −655	Maintainer now Tomasz Kalinowski
0.16.3 against 0.16.2 2 Nov 2025Exports and dependencies the same	160	507	No change	No change	+96 −68
0.16.2 against 0.16.1 31 Oct 2025Exports and dependencies the same	2	645	No change	No change	+94 −41
0.16.1 against 0.16.0 16 Oct 2025Exports and dependencies the same	15	619	No change	No change	+54 −7,697
0.16.0 against 0.15.1 21 Aug 2025Exports and dependencies the same	56	667	No change	No change	+3,015 −781
0.15.1 against 0.15.0 10 Jul 2025Exports and dependencies the same	42	308	No change	No change	+61 −163
0.15.0 against 0.14.2 23 Jun 2025Exports +8 −0. Dependencies the same	17	310	+8 −0	No change	+3,467 −868
0.14.2 against 0.14.1 14 Feb 2025Exports and dependencies the same	129	275	No change	No change	+78 −100
0.14.1 against 0.14.0 3 Feb 2025Exports and dependencies the same	11	411	No change	No change	+393 −164
0.14.0 against 0.13.0 30 Jan 2025Exports +11 −0. Dependencies +1 −1, 1 bound	4	389	+11 −0	+1 −1, 1 bound	+37,718 −13,883
0.13.0 against 0.12.0 22 May 2024Exports +4 −0. Dependencies the same	253	173	+4 −0	No change	+985 −363
0.12.0 against 0.11.0 15 Dec 2023Exports +5 −1. Dependencies +2	159	156	+5 −1	+2	+20,292 −33,001
0.11.0 against 0.10.0 6 Jun 2023Exports +12 −0. Dependencies the same	192	144	+12 −0	No change	+2,406 −492
0.10.0 against 0.9.1 14 Apr 2023Exports +9 −3. Dependencies +1, 1 bound	53	196	+9 −3	+1, 1 bound	+88,343 −18,148
0.9.1 against 0.9.0 23 Jan 2023Exports +1 −0. Dependencies 1 bound	81	149	+1 −0	1 bound	+3,308 −886
0.9.0 against 0.8.1 24 Oct 2022Exports +3 −1. Dependencies the same	91	165	+3 −1	No change	+69,538 −37,725
0.8.1 against 0.8.0 19 Aug 2022Exports and dependencies the same	66	115	No change	No change	+433 −236
0.8.0 against 0.7.2 10 Jun 2022Exports +10 −0. Dependencies the same	70	115	+10 −0	No change	+18,165 −12,659
0.7.2 against 0.7.1 26 Feb 2022Exports and dependencies the same	104	142	No change	No change	+18 −12
0.7.1 against 0.7.0 25 Feb 2022Exports +1 −0. Dependencies the same	1	293	+1 −0	No change	+273 −93
0.7.0 against 0.6.0 18 Feb 2022Exports +11 −0. Dependencies 2 bounds	7	203	+11 −0	2 bounds	+45,061 −26,534
0.6.0 against 0.5.0 7 Oct 2021Exports and dependencies the same	134	110	No change	No change	+1,497 −653
0.5.0 against 0.4.0 17 Aug 2021Exports +36 −0. Dependencies +1	51	101	+36 −0	+1	+57,373 −33,508
0.4.0 against 0.3.0 10 Jun 2021Exports +4 −0. Dependencies +3	68	77	+4 −0	+3	+3,215 −1,479
0.3.0 against 0.2.1 28 Apr 2021Exports +17 −4. Dependencies the same	43	93	+17 −4	No change	+69,661 −227,490
0.2.1 against 0.2.0 5 Jan 2021Exports and dependencies the same	113	76	No change	No change	+976 −2,144
0.2.0 against 0.1.1 15 Dec 2020Exports +88 −0. Dependencies +4, 1 bound	21	58	+88 −0	+4, 1 bound	+150,689 −16,077
0.1.1 against 0.1.0 20 Oct 2020Exports +14 −0. Dependencies the same	56	52	+14 −0	No change	+3,831 −254
0.1.0 against 0.0.3 28 Sep 2020Exports +30 −0. Dependencies the same	22	88	+30 −0	No change	+4,562 −73
0.0.3 18 Sep 2020The earlier release compared	10	25	the start

All 30Fewer

0.17.0 is counted to 26 Oct 2026, the last day of this copy's series.

Each release is set against the release before it. Exports are counted as added and removed, dependencies as packages added and removed and bounds changed, and lines as added and deleted. Choose a release to see its changes.

Code

Method, code

Measure	0.0.3	0.17.0	Change
Lines of R code	51,179	102,571	+51,392 up
Lines of compiled code	43,631	80,023	+36,392 up
Files	688	1,037	+349 up
Public exports	494	755	+261 up
Internal functions	2,711	6,280	+3,569 up
Highest complexity	91	155	+64 up
Download size	2.5 MB	1.9 MB	−620 KB down
Source, unpacked	12.2 MB	23.1 MB	+10.9 MB up

1 other figure of the code is the same in both.

Release by release (30)

Release	Lines of R code	Lines of compiled code	Files	Public exports	Internal functions	Mean complexity	Highest complexity	Download size	Source, unpacked
0.17.0	102,571	80,023	1,037	755	6,280	1.1	155	1.9 MB	23.1 MB
0.16.3	101,309	79,567	1,035	749	6,256	1.1	46	1.8 MB	18.2 MB
0.16.2	101,288	79,567	1,035	749	6,255	1.1	46	1.8 MB	18.2 MB
0.16.1	101,240	79,567	1,035	749	6,254	1.1	46	1.8 MB	18.2 MB
0.16.0	101,212	79,567	1,071	749	6,254	1.1	46	1.9 MB	18.5 MB
0.15.1	100,893	79,194	1,070	749	6,223	1.1	46	1.9 MB	18.4 MB
0.15.0	100,883	79,194	1,070	749	6,223	1.1	46	1.9 MB	18.4 MB
0.14.2	100,472	79,104	1,055	741	6,216	1.1	46	1.8 MB	18.1 MB
0.14.1	100,472	79,104	1,055	741	6,216	1.1	46	1.8 MB	18.1 MB
0.14.0	100,472	79,104	1,055	741	6,216	1.1	46	1.8 MB	18.1 MB
0.13.0	97,227	74,988	1,039	730	5,925	1.1	46	1.7 MB	17.3 MB
0.12.0	97,058	74,983	1,035	726	5,921	1.1	46	1.7 MB	17.3 MB
0.11.0	96,201	78,223	1,030	722	5,873	1.1	46	1.8 MB	18.6 MB
0.10.0	95,760	77,898	1,019	710	5,865	1.1	46	1.8 MB	18.5 MB
0.9.1	87,511	68,187	1,004	704	5,091	1.1	46	1.5 MB	14.6 MB
0.9.0	87,433	68,187	1,005	703	5,088	1.1	46	1.5 MB	14.6 MB
0.8.1	81,604	61,566	999	701	4,500	1.1	46	1.5 MB	13.2 MB
0.8.0	81,506	61,541	1,000	701	4,495	1.1	46	1.5 MB	13.2 MB
0.7.2	79,834	60,687	993	691	4,388	1.1	46	1.5 MB	13.1 MB
0.7.1	79,834	60,687	993	691	4,388	1.1	46	1.5 MB	13.1 MB
0.7.0	79,819	60,671	992	690	4,387	1.1	46	1.5 MB	13.1 MB
0.6.0	76,718	68,072	965	679	4,128	1.1	37	1.4 MB	12.5 MB
0.5.0	76,632	68,036	966	679	4,125	1.1	37	1.5 MB	12.4 MB
0.4.0	72,187	61,410	901	643	3,804	1.1	37	1.3 MB	11.3 MB
0.3.0	71,350	61,228	888	639	3,791	1.1	37	1.2 MB	11.2 MB
0.2.1	65,849	53,923	850	626	3,356	1.1	103	2.9 MB	16.1 MB
0.2.0	65,714	53,855	858	626	3,352	1.1	103	2.9 MB	16.2 MB
0.1.1	54,234	43,870	763	538	2,722	1.2	91	4.8 MB	15.0 MB
0.1.0	53,070	43,631	728	524	2,710	1.1	91	2.8 MB	12.6 MB
0.0.3	51,179	43,631	688	494	2,711	1.1	91	2.5 MB	12.2 MB

Tests

Method, tests

Measure	0.0.3	0.17.0	Change
Lines run by tests	Not measured	0.3%
Test cases	246	735	+489 up
Lines of tests	3,419	11,858	+8,439 up
Test lines per line of code	0.07	0.12	+0.05 up
Exports named in tests	26.3%	46.0%	+19.7 points up

Test coverage is measured on each CRAN package's newest release since July 2026.

Release by release (30)

Release	Lines run by tests	Test cases	Lines of tests	Test lines per line of code	Exports named in tests
0.17.0	0.3%	735	11,858	0.12	46.0%
0.16.3	Not measured	718	11,594	0.11	45.9%
0.16.2	Not measured	718	11,594	0.11	45.9%
0.16.1	Not measured	718	11,594	0.11	45.9%
0.16.0	Not measured	718	11,594	0.11	45.9%
0.15.1	Not measured	717	11,584	0.11	45.8%
0.15.0	Not measured	717	11,584	0.11	45.8%
0.14.2	Not measured	699	11,299	0.11	45.3%
0.14.1	Not measured	699	11,299	0.11	45.3%
0.14.0	Not measured	699	11,299	0.11	45.3%
0.13.0	Not measured	671	10,796	0.11	44.9%
0.12.0	Not measured	653	10,579	0.11	44.8%
0.11.0	Not measured	630	10,174	0.11	44.7%
0.10.0	Not measured	611	9,728	0.10	44.5%
0.9.1	Not measured	590	9,255	0.11	43.6%
0.9.0	Not measured	586	9,218	0.11	43.5%
0.8.1	Not measured	567	9,001	0.11	42.2%
0.8.0	Not measured	566	8,972	0.11	42.2%
0.7.2	Not measured	548	8,522	0.11	41.1%
0.7.1	Not measured	548	8,522	0.11	41.1%
0.7.0	Not measured	548	8,522	0.11	41.2%
0.6.0	Not measured	529	8,523	0.11	39.9%
0.5.0	Not measured	522	8,378	0.11	39.8%
0.4.0	Not measured	441	7,160	0.10	35.8%
0.3.0	Not measured	407	6,483	0.09	35.2%
0.2.1	Not measured	364	5,697	0.09	31.9%
0.2.0	Not measured	355	5,558	0.08	31.6%
0.1.1	Not measured	306	4,279	0.08	29.9%
0.1.0	Not measured	261	3,646	0.07	27.3%
0.0.3	Not measured	246	3,419	0.07	26.3%

Documentation

Method, documentation

Measure	0.0.3	0.17.0	Change
Exports documented	99.8%	99.9%	+0.1 points up
Return value documented	2.4%	6.2%	+3.8 points up
Lines of documentation	19,064	30,397	+11,333 up
Lines of guides	8,878	3,872	−5,006 down

1 other figure of the documentation is the same in both.

Release by release (30)

Release	Exports documented	Arguments documented	Return value documented	Lines of documentation	Lines of guides
0.17.0	99.9%	100.0%	6.2%	30,397	3,872
0.16.3	99.9%	100.0%	6.0%	30,174	3,822
0.16.2	99.9%	100.0%	5.8%	30,167	3,822
0.16.1	99.9%	100.0%	5.8%	30,167	3,822
0.16.0	99.9%	100.0%	5.8%	30,168	5,333
0.15.1	99.9%	100.0%	5.8%	30,167	5,333
0.15.0	99.9%	100.0%	5.8%	30,164	5,333
0.14.2	99.9%	100.0%	5.1%	29,900	5,333
0.14.1	99.9%	100.0%	5.1%	29,900	5,333
0.14.0	99.9%	100.0%	5.1%	29,900	5,333
0.13.0	99.9%	100.0%	4.9%	29,363	5,323
0.12.0	99.9%	100.0%	4.9%	29,235	5,304
0.11.0	99.9%	100.0%	4.8%	29,226	5,307
0.10.0	99.9%	100.0%	4.7%	28,852	5,307
0.9.1	99.9%	100.0%	4.6%	28,622	5,271
0.9.0	99.9%	100.0%	4.6%	28,569	5,271
0.8.1	99.9%	100.0%	4.4%	28,560	5,277
0.8.0	99.9%	100.0%	4.4%	28,536	5,277
0.7.2	99.9%	100.0%	4.3%	28,205	5,278
0.7.1	99.9%	100.0%	4.3%	28,205	5,278
0.7.0	99.9%	100.0%	4.3%	28,196	5,278
0.6.0	99.9%	100.0%	4.1%	28,007	5,139
0.5.0	99.9%	100.0%	4.1%	27,929	5,139
0.4.0	99.8%	100.0%	2.8%	25,397	4,891
0.3.0	99.8%	100.0%	2.8%	25,175	4,866
0.2.1	99.8%	100.0%	2.2%	24,386	4,539
0.2.0	99.8%	100.0%	2.2%	24,342	5,868
0.1.1	99.8%	100.0%	2.4%	21,083	9,064
0.1.0	99.8%	100.0%	2.2%	20,710	8,972
0.0.3	99.8%	100.0%	2.4%	19,064	8,878

Net change in dependencies

Method, dependencies

added
bound or field changed

	Package	Field	0.0.3	0.17.0	Release
added	`callr`	Imports	–	any version	0.2.0
added	`cli`	Imports	–	>= 3.0.0	added in 0.2.0, >= 3.0.0 in 0.10.0
added	`coro`	Imports	–	>= 1.0.2	added in 0.2.0, >= 1.0.2 in 0.7.0
added	`desc`	Imports	–	any version	0.10.0
changed	`glue`	Suggests to Imports	any version	any version	0.9.1
added	`jsonlite`	Imports	–	any version	0.12.0
added	`katex`	Suggests	–	any version	0.5.0
changed	`knitr`	Suggests	any version	>= 1.36	0.7.0
added	`mvtnorm`	Suggests	–	any version	0.4.0
added	`numDeriv`	Suggests	–	any version	0.4.0
changed	`rlang`	Imports	any version	>= 1.0.0	0.14.0
added	`safetensors`	Imports	–	>= 0.1.1	0.12.0
added	`scales`	Imports	–	any version	0.14.0
changed	`testthat`	Suggests	>= 2.1.0	>= 3.0.0	0.2.0
added	`tools`	Imports	–	any version	0.2.0

Net change in exports

added Added (270)

All 270, by release

0.17.0: install_torch_sitrep
torch_float8_e4m3fn
torch_float8_e5m2
torch_ldexp
torch_scaled_dot_product_attention
torch_sparse_sampled_addmm
0.15.0: cuda_dump_memory_snapshot
cuda_memory_snapshot
cuda_record_memory_history
nnf_area_under_min_fpr_fnr
nn_aum_loss
nn_transformer_encoder
nn_transformer_encoder_layer
torch_bfloat16
0.14.0: jit_serialize
jit_unserialize
OptimizerIgnite
optimizer_ignite
optim_ignite_adagrad
optim_ignite_adam
optim_ignite_adamw
optim_ignite_rmsprop
optim_ignite_sgd
optim_required
torch_take_along_dim
0.13.0: clone_module
linalg_solve_triangular
set_autocast
unset_autocast
0.12.0: iterable_dataset
lr_cosine_annealing
torch_cfloat128
torch_chalf
torch_serialize
0.11.0: buffer_from_torch_tensor
cuda_get_rng_state
cuda_set_rng_state
jit_ops
local_device
local_torch_manual_seed
nn_module_dict
nn_utils_weight_norm
torch_set_rng_state
torch_tensor_from_buffer
with_device
with_torch_manual_seed
0.10.0: cuda_amp_grad_scaler
local_autocast
local_enable_grad
local_no_grad
nnf_silu
nn_silu
optim_adamw
torch_get_rng_state
with_autocast
0.9.1: torch_fft_fftfreq
0.9.0: backends_mps_is_available
cuda_empty_cache
cuda_synchronize
0.8.0: lr_reduce_on_plateau
nn_embedding_bag
nn_prune_head
sampler
torch_cdouble
torch_cfloat
torch_cfloat32
torch_cfloat64
torch_kron
torch_lu_unpack
0.7.1: cuda_runtime_version
0.7.0: backends_cudnn_is_available
backends_cudnn_version
call_torch_function
cuda_get_device_capability
cuda_memory_stats
cuda_memory_summary
jit_save_for_mobile
nn_flatten
nn_unflatten
nn_upsample
torch_install_path
0.5.0: contrib_sort_vertices
jit_compile
jit_scalar
jit_trace_module
jit_tuple
linalg_cholesky
linalg_cholesky_ex
linalg_cond
linalg_det
linalg_eig
linalg_eigh
linalg_eigvals
linalg_eigvalsh
linalg_householder_product
linalg_inv
linalg_inv_ex
linalg_lstsq
linalg_matrix_norm
linalg_matrix_power
linalg_matrix_rank
linalg_multi_dot
linalg_norm
linalg_pinv
linalg_qr
linalg_slogdet
linalg_solve
linalg_svd
linalg_svdvals
linalg_tensorinv
linalg_tensorsolve
linalg_vector_norm
slc
torch_index
torch_index_put
torch_index_put_
with_detect_anomaly
0.4.0: distr_categorical
distr_mixture_same_family
distr_multivariate_normal
torch_diff
0.3.0: backends_mkldnn_is_available
backends_mkl_is_available
backends_openmp_is_available
distr_bernoulli
distr_chi2
distr_gamma
distr_normal
distr_poisson
get_install_libs_url
install_torch_from_file
nn_group_norm
nn_layer_norm
optimizer
torch_fft_fft
torch_fft_ifft
torch_fft_irfft
torch_fft_rfft
0.2.0: as_iterator
dataset_subset
jit_load
jit_save
jit_trace
loop
nn_batch_norm3d
nn_gru
nn_lstm
optim_lbfgs
torch_absolute
torch_acosh
torch_amax
torch_amin
torch_arccos
torch_arccosh
torch_arcsin
torch_arcsinh
torch_arctan
torch_arctanh
torch_asinh
torch_atanh
torch_atleast_1d
torch_atleast_2d
torch_atleast_3d
torch_block_diag
torch_bucketize
torch_channel_shuffle
torch_clip
torch_clone
torch_complex
torch_count_nonzero
torch_deg2rad
torch_dequantize
torch_divide
torch_dstack
torch_exp2
torch_fix
torch_fliplr
torch_flipud
torch_gcd
torch_greater
torch_greater_equal
torch_heaviside
torch_hstack
torch_hypot
torch_i0
torch_isclose
torch_isneginf
torch_isposinf
torch_isreal
torch_istft
torch_is_nonzero
torch_kaiser_window
torch_lcm
torch_less
torch_less_equal
torch_logaddexp
torch_logaddexp2
torch_logcumsumexp
torch_logit
torch_matrix_exp
torch_maximum
torch_minimum
torch_movedim
torch_multiply
torch_nanquantile
torch_nansum
torch_negative
torch_nextafter
torch_not_equal
torch_outer
torch_polar
torch_quantile
torch_rad2deg
torch_searchsorted
torch_sgn
torch_signbit
torch_sub
torch_subtract
torch_unsafe_chunk
torch_unsafe_split
torch_vander
torch_vdot
torch_view_as_complex
torch_view_as_real
torch_vstack
yield
0.1.1: nnf_contrib_sparsemax
nn_contrib_sparsemax
nn_utils_clip_grad_norm_
nn_utils_clip_grad_value_
optim_adadelta
optim_adagrad
optim_asgd
optim_rmsprop
optim_rprop
torch_get_num_interop_threads
torch_get_num_threads
torch_scalar_tensor
torch_set_num_interop_threads
torch_set_num_threads
0.1.0: is_nn_buffer
is_nn_module
is_nn_parameter
is_optimizer
lr_lambda
lr_multiplicative
lr_one_cycle
lr_scheduler
lr_step
nnf_triplet_margin_with_distance_loss
nn_bce_with_logits_loss
nn_buffer
nn_cosine_embedding_loss
nn_ctc_loss
nn_hinge_embedding_loss
nn_kl_div_loss
nn_l1_loss
nn_margin_ranking_loss
nn_mse_loss
nn_multilabel_margin_loss
nn_multilabel_soft_margin_loss
nn_multi_margin_loss
nn_nll_loss
nn_pairwise_distance
nn_parameter
nn_poisson_nll_loss
nn_smooth_l1_loss
nn_soft_margin_loss
nn_triplet_margin_loss
nn_triplet_margin_with_distance_loss

removed Removed (9)

0.12.0: torch_symeig
0.10.0: torch_eig
torch_lstsq
torch_matrix_rank
0.9.0: torch_solve
0.3.0: torch_fft
torch_ifft
torch_irfft
torch_rfft

Came and went

Dependencies (1)

Package	Field	Added in	Removed in
`ellipsis`	Imports	0.4.0	0.14.0

Net change in people

Method, licences

	Part	0.0.3	0.17.0
changed	Maintainer	Daniel Falbel	Tomasz Kalinowski
added	Person named	–	Christophe Regouby
added	Person named	–	Hamada S. Badr
added	Person named	–	Krzysztof Joachimiak
added	Person named	–	Maximilian Pichler
added	Person named	–	Sebastian Fischer
added	Person named	–	Tomasz Kalinowski
changed	Daniel Falbel	aut, cre, cph	aut, cph
changed	Javier Luraschi	aut, cph	aut

Release notes

From the NEWS file of 0.17.0. Only the section for the newest release on record is kept.

Updated to LibTorch 2.8.0 (#1419).
torch_triu_indices() and torch_tril_indices() now return 1-based indexes (#1382).
$indices() now returns 1-based indexes (#1382).
Added torch_sitrep() for torch installation situation report (#1415, @cregouby).
Added %*% operator for torch tensors (#1379, @caio-hamamura).
Added head() and tail() methods for torch tensors (#1388).
Exported torch_scaled_dot_product_attention() (#1404).
Exported torch_sparse_sampled_addmm() (#1427).
Exported torch_ldexp() (#1407).
Integrated cudatoolkit R package for CUDA library loading (#1422).
Improved as_array() support for sparse tensors (#1387).
Fixed sparse CSR tensor printing, to_sparse() crash, and as_array() detection (#1431).
Fixed dataset()/nn_module() crash when initialize parameter is named d (#1424, @Chandraveer-Singh).
Fixed bfloat16 not being recognized as a floating point dtype (#1408).
Fixed handling of R longjump exceptions in autograd and tracing callbacks (#1406).
Fixed redundant lantern.h include causing macro redefinition warning (#1430).
Excluded glibc libraries from dependency bundling (#1397, @troyhernandez).
Replaced non-API entry point Rf_findVarInFrame with R_getVarEx for R 4.6 compatibility (#1421).
Added French translations for 5 missing messages (#1385, @cregouby).

torch 0.0.3 to 0.17.0

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torch 0.0.3 to 0.17.0

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added Added (270)

removed Removed (9)